Personal Profile
Yuchao Yang is a Boya Distinguished Professor at School of Integrated Circuits, Peking University. His research interests include artificial sensory neuron, multisensory system, in-sensor computing, and human-machine interface electronics. He has published over 150 papers in high-profile journals and conferences such as Nature Electronics, Nature Reviews Materials, Nature Communications, Nature Nanotechnology, Science Advances, IEDM, etc., which were cited >13000 times, with a h-index of 52. He was invited to give >70 keynote/invited talks and serves as TPC chair or member >10 international conferences. Yuchao Yang serves as the Associate Editor for npj Unconventional Computing, APL Machine Learning, Microelectronic Engineering, Nano Select, etc. He serves as the editorial board member for National Science Review, Chip, Science China Information Sciences, Acta Electronica Sinica, Integrated circuit industry series, and guest editor of Advanced Intelligent Systems and other periodicals. He is a recipient of The National Science Fund for Distinguished Young Scholars, the EXPLORER PRIZE, Qiu Shi Outstanding Young Scholar Award, Wiley Young Researcher Award, MIT Technology Review Innovators Under 35 in China, Outstanding Achievement Award in Scientific Research of the Ministry of Education, the Fok Ying-Tong Education Foundation Young Teachers Fund, Beijing Outstanding Youth Zhongguancun Award, etc. He was recognized as Highly Cited Chinese Researchers by Elsevier from 2020 to 2023.
Selected Publications
1.Keqin Liu, Teng Zhang, Bingjie Dang, Lin Bao, Liying Xu, Caidie Cheng, Zhen Yang, Ru Huang*, andYuchao Yang*, An optoelectronic synapse based on α-In2Se3with controllable temporal dynamics for multimode and multiscale reservoir computing.Nature Electronics,DOI: 10.1038/s41928-022-00847-2,2022.Highlighted by Tech Xplore.
2.Bingjie Dang, Keqin Liu, Xulei Wu, Zhen Yang, Liying Xu,Yuchao Yang*, and Ru Huang*, One-phototransistor-one-memristor Array with High-linearity Light-tunable Weight for Optic Neuromorphic Computing.Advanced Materials,2204844,2022.
3.Liying Xu, Jiadi Zhu, Bing Chen, Zhen Yang, Keqin Liu, Bingjie Dang, Teng Zhang,Yuchao Yang*, and Ru Huang*, A Distributed Nanocluster Based Multi-Agent Evolutionary Network System.Nature Communications,13, 4698,2022.Editor’s Highlight.
4.Rui Yuan, Qingxi Duan, Pek Jun Tiw, Ge Li, Zhuojian Xiao, Zhaokun Jing, Ke Yang, Chang Liu, Chen Ge, Ru Huang*, andYuchao Yang*, A Calibratable Sensory Neuron Based on Epitaxial VO2for Spike-based Neuromorphic Multisensory System.Nature Communications,13, 3973,2022.
5.Keqin Liu, Bingjie Dang, Teng Zhang, Zhen Yang, Lin Bao, Liying Xu, Caidie Cheng, Ru Huang*, andYuchao Yang*Multilayer Reservoir Computing Based on Ferroelectric α-In2Se3for Hierarchical Information Processing.Advanced Materials,2108826,2022.
6.Suhas Kumar*, Xinxin Wang, John Paul Strachan,Yuchao Yang*, and Wei D. Lu*, Dynamical Memristors for Higher-Complexity Neuromorphic Computing.Nature Reviews Materials,7, 575–591, 2022.
7.Yingming Lu, Xi Li, Bonan Yan, Longhao Yan, Teng Zhang, Zhitang Song*, Ru Huang*, andYuchao Yang*, In-Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy-Efficient Reinforcement Learning.Advanced Materials, 34,2107811, 2021.
8.Longhao Yan, Xi Li,Yihang Zhu, Bonan Yan,Yingming Lu, Teng Zhang,Yuchao Yang*, Zhitang Song*, and Ru Huang*,Uncertainty Quantification Based on Multilevel Conductance and Stochasticity of Heater Size Dependent C-doped Ge2Sb2Te5PCM Chip.IEDM Tech. Dig.605-608,2021.
9.Yingming Lu, Xi Li, Longhao Yan, Teng Zhang,Yuchao Yang*, Zhitang Song*, and Ru Huang*,Accelerated Local Training of CNNs by Optimized Direct Feedback Alignment Based on Stochasticity of 4 Mb C-doped Ge2Sb2Te5PCM Chip in 40 nm Node.IEDM Tech. Dig.797-800, 2020.
10.Ke Yang, Qingxi Duan, Yanghao Wang, Teng Zhang,Yuchao Yang*, and Ru Huang*, Transiently chaotic simulated annealing based on intrinsic nonlinearity of memristors for efficient solution of optimization problems.Science Advances, 6, eaba9901, 2020.